- Introducing Whisper - OpenAI
We’ve trained and are open-sourcing a neural net called Whisper that approaches human level robustness and accuracy on English speech recognition
- GitHub - openai whisper: Robust Speech Recognition via Large-Scale Weak . . .
Whisper is a general-purpose speech recognition model It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification
- Whisper Web - AI Speech Recognition | Free
A revolutionary browser-based AI speech recognition platform that brings OpenAI's powerful Whisper model directly to your web browser No downloads, no installations - just instant, accurate speech-to-text conversion
- Which Whisper Model Should I Choose?
This guide will walk you through the various Whisper models, their differences, and how to select the right one for your specific use case Whisper comes in various sizes, each representing a different tradeoff between accuracy, speed, and resource requirements
- Whisper AI - Professional Voice to Text Transcription
Unlimited AI transcription trusted by 10,000+ professionals worldwide Get accurate, secure, and lightning-fast transcripts powered by OpenAI Whisper — no limits, no compromises
- openai whisper-large-v3 · Hugging Face
Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al from OpenAI
- Whisper (app) - Wikipedia
Whisper (app) Whisper was a free proprietary mobile app It was a form of anonymous social media, allowing users to post and share photo and video messages anonymously, [4][5] although this claim has been challenged with privacy concerns over Whisper's handling of user data [6]
- Whisper - Ultra-quiet, efficient, and scalable electric propulsion
Our team is addressing this challenge with our technology, bringing whisper-quiet solutions to every sector From aircraft propulsion to leaf blowers, we're silencing the noise for a better tomorrow
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